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13: Statistics of A/B Testing
Manage episode 243278347 series 2550866
Content provided by Sanket Gupta. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sanket Gupta or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
You and your team might spend a lot of time building a new feature. But how do you know if this feature will be liked by the users? One of the ways to statistically prove this is by using A/B testing. Listen to this episode to get tips, tricks and intuition behind hypothesis testing, alpha, beta, p-values, two-sample t-tests and more.
These understandings have been learnt from experiences deploying A/B tests in the field, and talking to experts.
These ideas are typically not covered in traditional A/B testing texts which tend to focus a lot on math without the intuition, and that's why I really wanted to cover it in this podcast episode. Thanks for listening! I'd really appreciate your support for this podcast. Follow the link below.
--- Send in a voice message: https://podcasters.spotify.com/pod/show/the-data-life-podcast/message Support this podcast: https://podcasters.spotify.com/pod/show/the-data-life-podcast/support27 episodes
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Manage episode 243278347 series 2550866
Content provided by Sanket Gupta. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sanket Gupta or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
You and your team might spend a lot of time building a new feature. But how do you know if this feature will be liked by the users? One of the ways to statistically prove this is by using A/B testing. Listen to this episode to get tips, tricks and intuition behind hypothesis testing, alpha, beta, p-values, two-sample t-tests and more.
These understandings have been learnt from experiences deploying A/B tests in the field, and talking to experts.
These ideas are typically not covered in traditional A/B testing texts which tend to focus a lot on math without the intuition, and that's why I really wanted to cover it in this podcast episode. Thanks for listening! I'd really appreciate your support for this podcast. Follow the link below.
--- Send in a voice message: https://podcasters.spotify.com/pod/show/the-data-life-podcast/message Support this podcast: https://podcasters.spotify.com/pod/show/the-data-life-podcast/support27 episodes
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Show notes are at https://stevelitchfield.com/sshow/chat.html
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Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community by hearing from the leaders. And if you've been Pythoning for years, you'll learn about your favorite packages and the hot new ones coming out of open source.
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continue reading
This is the audio podcast version of Troy Hunt's weekly update video published here: https://www.troyhunt.com/tag/weekly-update/
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continue reading
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continue reading
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continue reading
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